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TSE-ARF:一种适应性预测方法,跨分泌系统类型的效应因子

Xianjun Tang1, Longfei Luo1, Shunfang Wang2

  • 1Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming, 650504, Yunnan, China.

Analytical biochemistry
|November 29, 2023
PubMed
概括

我们开发了一种新的计算方法,即多种类型的分泌因子适应性随机森林 (TSE-ARF),以有效地识别细菌因子蛋白. 该工具只使用蛋白质序列,准确地预测了各种分泌系统中的作用因子.

关键词:
注意力机制注意力机制增强功能提取功能提取功能多层聚变聚变是多层的.多个尺度的信息信息.分泌系统的分泌系统.

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